Showing 1–20 of 30 results
/ Date/ Name
Sep 3, 2020Probabilistic Gradients for Fast Calibration of Differential Equation ModelsDec 23, 2020Probabilistic Iterative Methods for Linear SystemsJan 16, 2018A Bayesian Conjugate Gradient MethodOct 25, 2016Comments on "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & GirolamiDec 23, 2020Testing whether a Learning Procedure is CalibratedFeb 13, 2017Bayesian Probabilistic Numerical MethodsJan 15, 2017Probabilistic Numerical Methods for PDE-constrained Bayesian Inverse ProblemsMay 25, 2016Probabilistic Numerical Methods for Partial Differential Equations and Bayesian Inverse ProblemsApr 22, 2021Bayesian Numerical Methods for Nonlinear Partial Differential EquationsAug 8, 2022Statistical Properties of the Probabilistic Numeric Linear Solver BayesCGMar 10, 2016Convergence Rates for a Class of Estimators Based on Stein's MethodAug 1, 2025Constructive Disintegration and Conditional ModesJun 24, 2019A Role for Symmetry in the Bayesian Solution of Differential EquationsMay 18, 2018On the Bayesian Solution of Differential EquationsFeb 10, 2025SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence eraNov 15, 2021Theoretical Guarantees for the Statistical Finite Element MethodMay 8, 2020Optimal Thinning of MCMC OutputAug 7, 2020BayesCG As An Uncertainty Aware Version of CGOct 21, 2016Comments on "Bayesian Solution Uncertainty Quantification for Differential Equations" by Chkrebtii, Campbell, Calderhead & GirolamiMay 11, 2026Affine Tracing: A New Paradigm for Probabilistic Linear Solvers